
_base_ = [
    '../_base_/models/fast_scnn.py', '../_base_/datasets/yanbu0803.py',
    '../_base_/default_runtime.py', '../_base_/schedules/schedule_20k.py'
]
# crop_size = (2448,  2048)
crop_size = (1224,  1024)
data_preprocessor = dict(size=crop_size)

# model = dict(data_preprocessor=data_preprocessor,decode_head=dict(num_classes=2), auxiliary_head=dict(num_classes=2))  #换成自己的分类类别数
model = dict(data_preprocessor=data_preprocessor)
# Re-config the data sampler.
train_dataloader = dict(batch_size=4, num_workers=4)
val_dataloader = dict(batch_size=1, num_workers=4)
test_dataloader = val_dataloader

# Re-config the optimizer.
optimizer = dict(type='SGD', lr=0.12, momentum=0.9, weight_decay=4e-5)
optim_wrapper = dict(type='OptimWrapper', optimizer=optimizer)

